中国山东省东南部临沂市37个土壤样本的7种金属浓度（V、Cr、Ni、Cu、Zn、Pb、Hg）数据

该数据集的现场采样时间为2018年6月，采用位置为山东临沂市，34°220 – 36°130 N 和117°240 –119°120 E的范围，在距离地表40cm的深度，共收集了37个土壤样本，通过X射线荧光光谱仪（XRF)进行主量测试，高分辨率电感耦合等离子体质谱仪（HR-ICP-MS）测试微量，包含中国山东省临沂市37个土壤样品中7种重金属（V、Cr、Ni、Cu、Zn、Pb、Hg）的浓度及其他指标评估土壤中重金属的富集程度，揭示人为活动和自然来源对重金属分布的影响。通过将样品溶解，并进行主微量数据测试，通过样品-标液间插法以及内标法进行矫正，分析精度优于10%（1σ），准确度优于±5%。该数据可用于环境污染监测、污染源识别与风险评估，具有重要的环境管理与土壤修复应用前景。

This dataset was collected via field sampling in June 2018 at Linyi City, Shandong Province, China, covering a geographic range of 34°22′–36°13′ N and 117°24′–119°12′ E. A total of 37 soil samples were acquired at a depth of 40 cm below the ground surface. Major elements were tested by X-ray fluorescence spectrometer (XRF), and trace elements were analyzed using high-resolution inductively coupled plasma mass spectrometer (HR-ICP-MS). This dataset includes the concentrations of 7 heavy metals (V, Cr, Ni, Cu, Zn, Pb, Hg) and other relevant indicators from the 37 soil samples, which are employed to assess the enrichment degree of heavy metals in soil and uncover the influences of anthropogenic activities and natural sources on the distribution of heavy metals. Before analysis, the soil samples were digested, and the analytical data were calibrated through the sample-standard solution interpolation method and internal standard method. The analytical precision is better than 10% (1σ), and the analytical accuracy exceeds ±5%. This dataset can be applied to environmental pollution monitoring, pollution source identification and risk assessment, and has important application prospects in environmental management and soil remediation.